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—App stores allow users to submit feedback for downloaded apps in form of star ratings and text reviews. Recent studies analyzed this feedback and found that it includes information useful for app developers, such as user requirements, ideas for improvements, user sentiments about specific features, and descriptions of experiences with these features.(More)
Emotions have a high impact in productivity, task quality, creativity, group rapport and job satisfaction. In this work we use lexical sentiment analysis to study emotions expressed in commit comments of different open source projects and analyze their relationship with different factors such as used programming language, time and day of the week in which(More)
App Stores, such as Google Play or the Apple Store, allow users to provide feedback on apps by posting review comments and giving star ratings. These platforms constitute a useful electronic mean in which application developers and users can productively exchange information about apps. Previous research showed that users feedback contains usage scenarios,(More)
Performing everyday manipulation tasks successfully depends on the ability of autonomous robots to appropriately account for the physical behavior of task-related objects. Meaning that robots have to predict and consider the physical effects of their possible actions to take. In this work we investigate a simulation-based approach to naive physics temporal(More)
Emotions play an important role in determining work results and how team members collaborate within a project. When working in large, distributed teams, members can lose awareness of the emotional state of the project. We propose an approach to improve emotional awareness in software development teams by means of quantitative emotion summaries. Our approach(More)
App marketplaces are distribution platforms for mobile applications that serve as a communication channel between users and developers. These platforms allow users to write reviews about downloaded apps. Recent studies found that such reviews include information that is useful for software evolution. However, the manual analysis of a large amount of user(More)
Context: Users can have conflicting opinions and different experiences when using software and user reviews serve as a channel in which users can document their opinions and experiences. To develop and evolve software that is usable and relevant for a diverse group of users, different opinions and experiences need to be taken into account. Goal: In this(More)
  • Emitza Guzman
  • 2013
Developers and managers need to be aware of the emotional climate of the projects they are involved to take corrective actions when necessary and to have a better understanding of the social factors affecting the project. With the growing trend of distributed teams and textual communication this type of awareness is more difficult to obtain and maintain. We(More)
Google Play, Apple App Store and Windows Phone Store are well known distribution platforms where users can download mobile apps, rate them and write review comments about the apps they are using. Previous research studies demonstrated that these reviews contain important information to help developers improve their apps. However, analyzing reviews is(More)
In this paper, the description of an image recognition processor based on morphological associative memories (MAM) is presented. The combination of the MAM features with its implementation in a programmable logic device grants to the system high speeds of processing, high immunity to the present noise in the images and great capacity of storage; these(More)